Predicting connected fracture networks: Field validation of numerical models

M. Welch; M. Lüthje; S. Oldfield

doi:10.3997/2214-4609.2020622015

Predicting connected fracture networks: Field validation of numerical models

M. Welch, M. Lüthje, S. Oldfield

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

We apply the mechanically driven approach to fracture modelling of Welch et al. (2019) to two fractured outcrops, Nash Point in South Wales and Robin Hood’s Bay in NE England. We show that the local stress field developed around larger faults is a key control on the geometry of the fractures, along with layer thickness, fracture propagation rate and layer stiffness. We can use this information to predict fracture anisotropy and connectivity.

Original language	English
Title of host publication	Conference Proceedings, Fourth Naturally Fractured Reservoir Workshop
Number of pages	5
Volume	2020
Publisher	European Association of Geoscientists and Engineers
Publication date	2020
Edition	1
DOIs	https://doi.org/10.3997/2214-4609.2020622015
Publication status	Published - 2020
Event	4^thNaturally Fractured Reservoir Workshop - Ras Al Khaimah, United Arab Emirates Duration: 11 Feb 2020 → 13 Feb 2020 Conference number: 4

Conference

Conference	4^thNaturally Fractured Reservoir Workshop
Number	4
Country/Territory	United Arab Emirates
City	Ras Al Khaimah
Period	11/02/2020 → 13/02/2020

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title = "Predicting connected fracture networks: Field validation of numerical models",

abstract = "We apply the mechanically driven approach to fracture modelling of Welch et al. (2019) to two fractured outcrops, Nash Point in South Wales and Robin Hood{\textquoteright}s Bay in NE England. We show that the local stress field developed around larger faults is a key control on the geometry of the fractures, along with layer thickness, fracture propagation rate and layer stiffness. We can use this information to predict fracture anisotropy and connectivity.",

author = "M. Welch and M. L{\"u}thje and S. Oldfield",

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booktitle = "Conference Proceedings, Fourth Naturally Fractured Reservoir Workshop",

publisher = "European Association of Geoscientists and Engineers",

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note = "4<sup>th </sup>Naturally Fractured Reservoir Workshop ; Conference date: 11-02-2020 Through 13-02-2020",

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Welch, M, Lüthje, M & Oldfield, S 2020, Predicting connected fracture networks: Field validation of numerical models. in Conference Proceedings, Fourth Naturally Fractured Reservoir Workshop. 1 edn, vol. 2020, European Association of Geoscientists and Engineers, 4^thNaturally Fractured Reservoir Workshop, Ras Al Khaimah, United Arab Emirates, 11/02/2020. https://doi.org/10.3997/2214-4609.2020622015

Predicting connected fracture networks: Field validation of numerical models. / Welch, M.; Lüthje, M.; Oldfield, S.
Conference Proceedings, Fourth Naturally Fractured Reservoir Workshop. Vol. 2020 1. ed. European Association of Geoscientists and Engineers, 2020.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Predicting connected fracture networks: Field validation of numerical models

AU - Welch, M.

AU - Lüthje, M.

AU - Oldfield, S.

N1 - Conference code: 4

PY - 2020

Y1 - 2020

N2 - We apply the mechanically driven approach to fracture modelling of Welch et al. (2019) to two fractured outcrops, Nash Point in South Wales and Robin Hood’s Bay in NE England. We show that the local stress field developed around larger faults is a key control on the geometry of the fractures, along with layer thickness, fracture propagation rate and layer stiffness. We can use this information to predict fracture anisotropy and connectivity.

AB - We apply the mechanically driven approach to fracture modelling of Welch et al. (2019) to two fractured outcrops, Nash Point in South Wales and Robin Hood’s Bay in NE England. We show that the local stress field developed around larger faults is a key control on the geometry of the fractures, along with layer thickness, fracture propagation rate and layer stiffness. We can use this information to predict fracture anisotropy and connectivity.

U2 - 10.3997/2214-4609.2020622015

DO - 10.3997/2214-4609.2020622015

M3 - Article in proceedings

VL - 2020

BT - Conference Proceedings, Fourth Naturally Fractured Reservoir Workshop

PB - European Association of Geoscientists and Engineers

T2 - 4<sup>th </sup>Naturally Fractured Reservoir Workshop

Y2 - 11 February 2020 through 13 February 2020

ER -

Predicting connected fracture networks: Field validation of numerical models

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